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Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance
OBJECTIVES: Prediabetes is a major epidemic and is associated with adverse cardio-cerebrovascular outcomes. Early identification of patients who will develop rapid progression of atherosclerosis could be beneficial for improved risk stratification. In this paper, we investigate important factors imp...
Autores principales: | Hu, Xia, Reaven, Peter D., Saremi, Aramesh, Liu, Ninghao, Abbasi, Mohammad Ali, Liu, Huan, Migrino, Raymond Q. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011483/ https://www.ncbi.nlm.nih.gov/pubmed/27642290 http://dx.doi.org/10.1186/s13637-016-0049-6 |
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